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ORCIDFranz Pernkopf
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- affiliation: Graz University of Technology, Signal Processing and Speech Communication Laboratory, Austria
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2020 – today
- 2021
[j33]Philipp Aichinger
, Franz Pernkopf:
Synthesis and Analysis-By-Synthesis of Modulated Diplophonic Glottal Area Waveforms. IEEE ACM Trans. Audio Speech Lang. Process. 29: 914-926 (2021)- [i23]Lukas Pfeifenberger, Franz Pernkopf:
Blind Speech Separation and Dereverberation using Neural Beamforming. CoRR abs/2103.13443 (2021) - 2020
- [j32]Elmar Messner, Melanie Fediuk, Paul Swatek, Stefan Scheidl, Freyja-Maria Smolle-Jüttner, Horst Olschewski, Franz Pernkopf:
Multi-channel lung sound classification with convolutional recurrent neural networks. Comput. Biol. Medicine 122: 103831 (2020) - [j31]Wolfgang Roth, Franz Pernkopf:
Bayesian Neural Networks with Weight Sharing Using Dirichlet Processes. IEEE Trans. Pattern Anal. Mach. Intell. 42(1): 246-252 (2020) - [j30]Nikolaus Mutsam, Franz Pernkopf:
Tracking of a Gunning Jet Using Particle Filtering in Infrared Image Sequences. IEEE Trans. Instrum. Meas. 69(9): 6101-6111 (2020) - [c96]Martin Trapp, Robert Peharz, Franz Pernkopf, Carl Edward Rasmussen:
Deep Structured Mixtures of Gaussian Processes. AISTATS 2020: 2251-2261 - [c95]Truc Nguyen, Franz Pernkopf:
Lung Sound Classification Using Snapshot Ensemble of Convolutional Neural Networks. EMBC 2020: 760-763 - [c94]Truc Nguyen, Franz Pernkopf, Michal Kosmider:
Acoustic Scene Classification for Mismatched Recording Devices Using Heated-Up Softmax and Spectrum Correction. ICASSP 2020: 126-130 - [c93]Markus Huber, Günther Schindler, Christian Schörkhuber, Wolfgang Roth, Franz Pernkopf, Holger Fröning:
Towards Real-Time Single-Channel Singing-Voice Separation with Pruned Multi-Scaled Densenets. ICASSP 2020: 806-810 - [c92]Lukas Pfeifenberger, Franz Pernkopf:
Nonlinear Residual Echo Suppression Using a Recurrent Neural Network. INTERSPEECH 2020: 3950-3954 - [c91]Günther Schindler, Wolfgang Roth, Franz Pernkopf, Holger Fröning:
Parameterized Structured Pruning for Deep Neural Networks. LOD (2) 2020: 16-27 - [e1]João Gama, Sepideh Pashami, Albert Bifet, Moamar Sayed Mouchaweh, Holger Fröning, Franz Pernkopf, Gregor Schiele, Michaela Blott:
IoT Streams for Data-Driven Predictive Maintenance and IoT, Edge, and Mobile for Embedded Machine Learning - Second International Workshop, IoT Streams 2020, and First International Workshop, ITEM 2020, Co-located with ECML/PKDD 2020, Ghent, Belgium, September 14-18, 2020, Revised Selected Papers. Communications in Computer and Information Science 1325, Springer 2020, ISBN 978-3-030-66769-6 [contents] - [i22]Wolfgang Roth, Günther Schindler, Matthias Zöhrer, Lukas Pfeifenberger, Robert Peharz, Sebastian Tschiatschek, Holger Fröning, Franz Pernkopf, Zoubin Ghahramani:
Resource-Efficient Neural Networks for Embedded Systems. CoRR abs/2001.03048 (2020) - [i21]Alexander Fuchs, Franz Pernkopf:
Wasserstein Routed Capsule Networks. CoRR abs/2007.11465 (2020) - [i20]Lukas Pfeifenberger, Matthias Zöhrer, Günther Schindler, Wolfgang Roth, Holger Fröning, Franz Pernkopf:
Resource-Efficient Speech Mask Estimation for Multi-Channel Speech Enhancement. CoRR abs/2007.11477 (2020) - [i19]Wolfgang Roth, Franz Pernkopf:
Differentiable TAN Structure Learning for Bayesian Network Classifiers. CoRR abs/2008.09566 (2020) - [i18]Wolfgang Roth, Günther Schindler, Holger Fröning, Franz Pernkopf:
On Resource-Efficient Bayesian Network Classifiers and Deep Neural Networks. CoRR abs/2010.11773 (2020) - [i17]Johanna Rock, Wolfgang Roth, Máté Tóth, Paul Meissner, Franz Pernkopf:
Quantized Neural Networks for Radar Interference Mitigation. CoRR abs/2011.12706 (2020) - [i16]Johanna Rock, Máté Tóth, Paul Meissner, Franz Pernkopf:
Deep Interference Mitigation and Denoising of Real-World FMCW Radar Signals. CoRR abs/2012.02529 (2020) - [i15]David Peter, Wolfgang Roth, Franz Pernkopf:
Resource-efficient DNNs for Keyword Spotting using Neural Architecture Search and Quantization. CoRR abs/2012.10138 (2020)
2010 – 2019
- 2019
- [j29]Philipp Aichinger, Franz Pernkopf, Jean Schoentgen:
Detection of extra pulses in synthesized glottal area waveforms of dysphonic voices. Biomed. Signal Process. Control. 50: 158-167 (2019) - [j28]Lukas Pfeifenberger, Matthias Zöhrer, Franz Pernkopf:
Eigenvector-Based Speech Mask Estimation for Multi-Channel Speech Enhancement. IEEE ACM Trans. Audio Speech Lang. Process. 27(12): 2162-2172 (2019) - [c90]Johanna Rock, Máté Tóth, Elmar Messner, Paul Meissner, Franz Pernkopf:
Complex Signal Denoising and Interference Mitigation for Automotive Radar Using Convolutional Neural Networks. FUSION 2019: 1-8 - [c89]Lukas Pfeifenberger, Matthias Zöhrer, Franz Pernkopf:
Deep Complex-valued Neural Beamformers. ICASSP 2019: 2902-2906 - [c88]Truc Nguyen, Franz Pernkopf:
Acoustic Scene Classification with Mismatched Recording Devices Using Mixture of Experts Layer. ICME 2019: 1666-1671 - [c87]Alexander Fuchs, Robin Priewald, Franz Pernkopf:
Recurrent Dilated DenseNets for a Time-Series Segmentation Task. ICMLA 2019: 75-80 - [c86]Truc Nguyen, Alexander Fuchs, Franz Pernkopf:
Acoustic Scene Classification Using Deep Mixtures of Pre-trained Convolutional Neural Networks. ICMLA 2019: 871-875 - [c85]Truc Nguyen, Franz Pernkopf:
Acoustic Scene Classification with Mismatched Devices Using CliqueNets and Mixup Data Augmentation. INTERSPEECH 2019: 2330-2334 - [c84]Martin Trapp, Robert Peharz, Hong Ge, Franz Pernkopf, Zoubin Ghahramani:
Bayesian Learning of Sum-Product Networks. NeurIPS 2019: 6344-6355 - [c83]Wolfgang Roth, Günther Schindler, Holger Fröning, Franz Pernkopf:
Training Discrete-Valued Neural Networks with Sign Activations Using Weight Distributions. ECML/PKDD (2) 2019: 382-398 - [c82]Bernhard K. Aichernig, Roderick Bloem, Masoud Ebrahimi, Martin Horn, Franz Pernkopf, Wolfgang Roth, Astrid Rupp, Martin Tappler, Markus Tranninger:
Learning a Behavior Model of Hybrid Systems Through Combining Model-Based Testing and Machine Learning. ICTSS 2019: 3-21 - [c81]Bernhard K. Aichernig, Franz Pernkopf, Richard Schumi, Andreas Wurm:
Predicting and Testing Latencies with Deep Learning: An IoT Case Study. TAP@FM 2019: 93-111 - [c80]Christian Knoll, Franz Pernkopf:
Belief Propagation: Accurate Marginals or Accurate Partition Function - Where is the Difference? UAI 2019: 627-636 - [i14]Martin Trapp, Robert Peharz, Franz Pernkopf:
Optimisation of Overparametrized Sum-Product Networks. CoRR abs/1905.08196 (2019) - [i13]Martin Trapp, Robert Peharz, Hong Ge, Franz Pernkopf, Zoubin Ghahramani:
Bayesian Learning of Sum-Product Networks. CoRR abs/1905.10884 (2019) - [i12]Günther Schindler, Wolfgang Roth, Franz Pernkopf, Holger Fröning:
Parameterized Structured Pruning for Deep Neural Networks. CoRR abs/1906.05180 (2019) - [i11]Johanna Rock, Máté Tóth, Elmar Messner, Paul Meissner, Franz Pernkopf:
Complex Signal Denoising and Interference Mitigation for Automotive Radar Using Convolutional Neural Networks. CoRR abs/1906.10044 (2019) - [i10]Bernhard K. Aichernig, Roderick Bloem, Masoud Ebrahimi, Martin Horn, Franz Pernkopf, Wolfgang Roth, Astrid Rupp, Martin Tappler, Markus Tranninger:
Learning a Behavior Model of Hybrid Systems Through Combining Model-Based Testing and Machine Learning (Full Version). CoRR abs/1907.04708 (2019) - [i9]Martin Trapp, Robert Peharz, Franz Pernkopf, Carl E. Rasmussen:
Deep Structured Mixtures of Gaussian Processes. CoRR abs/1910.04536 (2019) - 2018
- [j27]Christian Knoll, Dhagash Mehta, Tianran Chen, Franz Pernkopf:
Fixed Points of Belief Propagation - An Analysis via Polynomial Homotopy Continuation. IEEE Trans. Pattern Anal. Mach. Intell. 40(9): 2124-2136 (2018) - [j26]Wolfgang Roth, Robert Peharz, Sebastian Tschiatschek, Franz Pernkopf:
Hybrid generative-discriminative training of Gaussian mixture models. Pattern Recognit. Lett. 112: 131-137 (2018) - [j25]Philipp Aichinger, Martin Hagmüller, Berit Schneider-Stickler, Jean Schoentgen, Franz Pernkopf:
Tracking of Multiple Fundamental Frequencies in Diplophonic Voices. IEEE ACM Trans. Audio Speech Lang. Process. 26(2): 330-341 (2018) - [j24]Elmar Messner, Matthias Zöhrer, Franz Pernkopf:
Heart Sound Segmentation - An Event Detection Approach Using Deep Recurrent Neural Networks. IEEE Trans. Biomed. Eng. 65(9): 1964-1974 (2018) - [c79]Elmar Messner, Melanie Fediuk, Paul Swatek, Stefan Scheidl, Freyja-Maria Smolle-Jüttner, Horst Olschewski, Franz Pernkopf:
Crackle and Breathing Phase Detection in Lung Sounds with Deep Bidirectional Gated Recurrent Neural Networks. EMBC 2018: 356-359 - [c78]Günther Schindler, Matthias Zöhrer, Franz Pernkopf, Holger Fröning:
Towards Efficient Forward Propagation on Resource-Constrained Systems. ECML/PKDD (1) 2018: 426-442 - [i8]Tobias Schrank, Franz Pernkopf:
Automatic Clustering of a Network Protocol with Weakly-Supervised Clustering. CoRR abs/1806.00981 (2018) - [i7]Martin Ratajczak, Sebastian Tschiatschek, Franz Pernkopf:
Sum-Product Networks for Sequence Labeling. CoRR abs/1807.02324 (2018) - [i6]Martin Trapp, Robert Peharz, Carl E. Rasmussen, Franz Pernkopf:
Learning Deep Mixtures of Gaussian Process Experts Using Sum-Product Networks. CoRR abs/1809.04400 (2018) - [i5]Robert Harb, Franz Pernkopf:
Sound event detection using weakly-labeled semi-supervised data with GCRNNS, VAT and Self-Adaptive Label Refinement. CoRR abs/1810.06897 (2018) - [i4]Christian Knoll, Florian Kulmer, Franz Pernkopf:
Self-Guided Belief Propagation - A Homotopy Continuation Method. CoRR abs/1812.01339 (2018) - [i3]Franz Pernkopf, Wolfgang Roth, Matthias Zöhrer, Lukas Pfeifenberger, Günther Schindler, Holger Fröning, Sebastian Tschiatschek, Robert Peharz, Matthew Mattina, Zoubin Ghahramani:
Efficient and Robust Machine Learning for Real-World Systems. CoRR abs/1812.02240 (2018) - 2017
- [j23]Philipp Aichinger, Martin Hagmüller, Imme Roesner, Berit Schneider-Stickler, Jean Schoentgen, Franz Pernkopf:
Fundamental frequency tracking in diplophonic voices. Biomed. Signal Process. Control. 37: 69-81 (2017) - [j22]Robert Peharz, Robert Gens, Franz Pernkopf, Pedro M. Domingos:
On the Latent Variable Interpretation in Sum-Product Networks. IEEE Trans. Pattern Anal. Mach. Intell. 39(10): 2030-2044 (2017) - [c77]Elmar Messner, Martin Hagmüller, Paul Swatek, Freyja-Maria Smolle-Jüttner, Franz Pernkopf:
Impact of Airflow Rate on Amplitude and Regional Distribution of Normal Lung Sounds. BIOSIGNALS 2017: 49-53 - [c76]Lukas Pfeifenberger, Matthias Zöhrer, Franz Pernkopf:
DNN-based speech mask estimation for eigenvector beamforming. ICASSP 2017: 66-70 - [c75]Elmar Messner, Martin Hagmüller, Paul Swatek, Freyja-Maria Smolle-Jüttner, Franz Pernkopf:
Respiratory airflow estimation from lung sounds based on regression. ICASSP 2017: 1123-1127 - [c74]Matthias Zöhrer, Franz Pernkopf:
Virtual Adversarial Training and Data Augmentation for Acoustic Event Detection with Gated Recurrent Neural Networks. INTERSPEECH 2017: 493-497 - [c73]Martin Ratajczak, Sebastian Tschiatschek, Franz Pernkopf:
Frame and Segment Level Recurrent Neural Networks for Phone Classification. INTERSPEECH 2017: 1318-1322 - [c72]Lukas Pfeifenberger, Matthias Zöhrer, Franz Pernkopf:
Eigenvector-Based Speech Mask Estimation Using Logistic Regression. INTERSPEECH 2017: 2660-2664 - [c71]Christian Knoll, Franz Pernkopf:
On Loopy Belief Propagation - Local Stability Analysis for Non-Vanishing Fields. UAI 2017 - [c70]Martin Trapp, Tamas Madl, Robert Peharz, Franz Pernkopf, Robert Trappl:
Safe Semi-Supervised Learning of Sum-Product Networks. UAI 2017 - [i2]Martin Trapp, Tamas Madl, Robert Peharz, Franz Pernkopf, Robert Trappl:
Safe Semi-Supervised Learning of Sum-Product Networks. CoRR abs/1710.03444 (2017) - 2016
- [j21]Nikolaus Mutsam, Franz Pernkopf:
Maximum margin hidden Markov models for sequence classification. Pattern Recognit. Lett. 77: 14-20 (2016) - [c69]Elmar Messner, Martin Hagmüller, Paul Swatek, Franz Pernkopf:
A Robust Multichannel Lung Sound Recording Device. BIODEVICES 2016: 34-39 - [c68]Martin Ratajczak, Sebastian Tschiatschek, Franz Pernkopf:
Virtual Adversarial Training Applied to Neural Higher-Order Factors for Phone Classification. INTERSPEECH 2016: 2756-2760 - [c67]Florian B. Pokorny, Robert Peharz, Wolfgang Roth, Matthias Zöhrer, Franz Pernkopf, Peter B. Marschik, Björn W. Schuller:
Manual versus Automated: The Challenging Routine of Infant Vocalisation Segmentation in Home Videos to Study Neuro(mal)development. INTERSPEECH 2016: 2997-3001 - [c66]Johannes Fahringer, Tobias Schrank, Johannes Stahl, Pejman Mowlaee, Franz Pernkopf:
Phase-Aware Signal Processing for Automatic Speech Recognition. INTERSPEECH 2016: 3374-3378 - [i1]Robert Peharz, Robert Gens, Franz Pernkopf, Pedro M. Domingos:
On the Latent Variable Interpretation in Sum-Product Networks. CoRR abs/1601.06180 (2016) - 2015
- [j20]Sebastian Tschiatschek, Franz Pernkopf:
On Bayesian Network Classifiers with Reduced Precision Parameters. IEEE Trans. Pattern Anal. Mach. Intell. 37(4): 774-785 (2015) - [j19]Matthias Zöhrer, Robert Peharz, Franz Pernkopf:
Representation Learning for Single-Channel Source Separation and Bandwidth Extension. IEEE ACM Trans. Audio Speech Lang. Process. 23(12): 2398-2409 (2015) - [c65]Florian B. Pokorny, Franz Graf, Franz Pernkopf, Björn W. Schuller:
Detection of negative emotions in speech signals using bags-of-audio-words. ACII 2015: 879-884 - [c64]Robert Peharz, Sebastian Tschiatschek, Franz Pernkopf, Pedro M. Domingos:
On Theoretical Properties of Sum-Product Networks. AISTATS 2015 - [c63]Lukas Pfeifenberger, Tobias Schrank, Matthias Zöhrer, Martin Hagmüller, Franz Pernkopf:
Multi-channel speech processing architectures for noise robust speech recognition: 3rd CHiME challenge results. ASRU 2015: 452-459 - [c62]Matthias Zöhrer, Franz Pernkopf:
Representation models in single channel source separation. ICASSP 2015: 713-717 - [c61]Matthias Zöhrer, Robert Peharz, Franz Pernkopf:
On representation learning for artificial bandwidth extension. INTERSPEECH 2015: 791-795 - [c60]Martin Ratajczak, Sebastian Tschiatschek, Franz Pernkopf:
Neural higher-order factors in conditional random fields for phoneme classification. INTERSPEECH 2015: 2137-2141 - [c59]Sebastian Tschiatschek, Franz Pernkopf:
Parameter Learning of Bayesian Network Classifiers Under Computational Constraints. ECML/PKDD (1) 2015: 86-101 - [c58]Martin Ratajczak, Sebastian Tschiatschek, Franz Pernkopf:
Structured Regularizer for Neural Higher-Order Sequence Models. ECML/PKDD (1) 2015: 168-183 - [c57]Christian Knoll, Michael Rath, Sebastian Tschiatschek, Franz Pernkopf:
Message Scheduling Methods for Belief Propagation. ECML/PKDD (2) 2015: 295-310 - 2014
- [c56]Lukas Pfeifenberger, Franz Pernkopf:
A multi-channel postfilter based on the diffuse noise sound field. EUSIPCO 2014: 686-690 - [c55]A. Zehetner, Martin Hagmüller, Franz Pernkopf:
Wake-up-word spotting for mobile systems. EUSIPCO 2014: 1472-1476 - [c54]Christina Leitner, Juan Andres Morales-Cordovilla, Franz Pernkopf:
Evaluation of speech enhancement based on pre-image iterations using automatic speech recognition. EUSIPCO 2014: 1801-1805 - [c53]Robert Peharz, Georg Kapeller, Pejman Mowlaee, Franz Pernkopf:
Modeling speech with sum-product networks: Application to bandwidth extension. ICASSP 2014: 3699-3703 - [c52]Matthias Zöhrer, Franz Pernkopf:
Single channel source separation with general stochastic networks. INTERSPEECH 2014: 978-982 - [c51]Michael Wohlmayr, Ludwig Mohr, Franz Pernkopf:
Self-adaption in single-channel source separation. INTERSPEECH 2014: 1003-1007 - [c50]Lukas Pfeifenberger, Franz Pernkopf:
Blind source extraction based on a direction-dependent a-priori SNR. INTERSPEECH 2014: 2700-2704 - [c49]Matthias Zöhrer, Franz Pernkopf:
General Stochastic Networks for Classification. NIPS 2014: 2015-2023 - [c48]Sebastian Tschiatschek, Karin Paul, Franz Pernkopf:
Integer Bayesian Network Classifiers. ECML/PKDD (3) 2014: 209-224 - 2013
- [j18]Franz Pernkopf, Michael Wohlmayr:
Stochastic margin-based structure learning of Bayesian network classifiers. Pattern Recognit. 46(2): 464-471 (2013) - [j17]Michael Wohlmayr, Franz Pernkopf:
Model-Based Multiple Pitch Tracking Using Factorial HMMs: Model Adaptation and Inference. IEEE Trans. Speech Audio Process. 21(8): 1742-1754 (2013) - [c47]Sebastian Tschiatschek, Franz Pernkopf:
On the Asymptotic Optimality of Maximum Margin Bayesian Networks. AISTATS 2013: 590-598 - [c46]Sebastian Tschiatschek, Carlos Eduardo Cancino Chacón, Franz Pernkopf:
Bounds for Bayesian network classifiers with reduced precision parameters. ICASSP 2013: 3357-3361 - [c45]Michael Wohlmayr, Franz Pernkopf:
Model adaptation of factorial HMMS for multipitch tracking. ICASSP 2013: 6792-6796 - [c44]Christina Leitner, Franz Pernkopf:
Generalization of pre-image iterations for speech enhancement. ICASSP 2013: 7010-7014 - [c43]Robert Peharz, Sebastian Tschiatschek, Franz Pernkopf:
The Most Generative Maximum Margin Bayesian Networks. ICML (3) 2013: 235-243 - [c42]Robert Peharz, Bernhard C. Geiger, Franz Pernkopf:
Greedy Part-Wise Learning of Sum-Product Networks. ECML/PKDD (2) 2013: 612-627 - 2012
- [j16]Robert Peharz, Franz Pernkopf:
Sparse nonnegative matrix factorization with ℓ0-constraints. Neurocomputing 80: 38-46 (2012) - [j15]Franz Pernkopf, Michael Wohlmayr, Sebastian Tschiatschek:
Maximum Margin Bayesian Network Classifiers. IEEE Trans. Pattern Anal. Mach. Intell. 34(3): 521-532 (2012) - [c41]Christina Leitner, Franz Pernkopf:
Suppression of musical noise in enhanced speech using pre-image iterations. EUSIPCO 2012: 345-349 - [c40]Robert Peharz, Franz Pernkopf:
On linear and mixmax interaction models for single channel source separation. ICASSP 2012: 249-252 - [c39]Christina Leitner, Franz Pernkopf:
Speech enhancement using pre-image iterations. ICASSP 2012: 4665-4668 - [c38]Robert Peharz, Franz Pernkopf:
Exact Maximum Margin Structure Learning of Bayesian Networks. ICML 2012 - [c37]Sebastian Tschiatschek, Franz Pernkopf:
Convex Combinations of Maximum Margin Bayesian Network Classifiers. ICPRAM (1) 2012: 69-77 - [c36]Christina Leitner, Franz Pernkopf:
Extension of Pre-Image Speech De-Noising by Voice Activity Detection Using a Bone Conductive Microphone. IWAENC 2012 - [c35]Sebastian Tschiatschek, Nikolaus Mutsam, Franz Pernkopf:
Handling missing features in maximum margin Bayesian network classifiers. MLSP 2012: 1-6 - [c34]Sebastian Tschiatschek, Peter Reinprecht, Manfred Mücke, Franz Pernkopf:
Bayesian Network Classifiers with Reduced Precision Parameters. ECML/PKDD (1) 2012: 74-89 - 2011
- [j14]Stefan Petrik, Christina Drexel, Leo Fessler, Jeremy Jancsary, Alexandra Klein, Gernot Kubin, Johannes Matiasek, Franz Pernkopf, Harald Trost:
Semantic and phonetic automatic reconstruction of medical dictations. Comput. Speech Lang. 25(2): 363-385 (2011) - [j13]Michael Stark, Michael Wohlmayr, Franz Pernkopf:
Source-Filter-Based Single-Channel Speech Separation Using Pitch Information. IEEE Trans. Speech Audio Process. 19(2): 242-255 (2011) - [j12]Michael Wohlmayr, Michael Stark, Franz Pernkopf:
A Probabilistic Interaction Model for Multipitch Tracking With Factorial Hidden Markov Models. IEEE Trans. Speech Audio Process. 19(4): 799-810 (2011) - [c33]Franz Pernkopf, Michael Wohlmayr, Manfred Mücke:
Maximum margin structure learning of Bayesian network classifiers. ICASSP 2011: 2076-2079 - [c32]Michael Wohlmayr, Robert Peharz, Franz Pernkopf:
Efficient implementation of probabilistic multi-pitch tracking. ICASSP 2011: 5412-5415 - [c31]Robert Peharz, Michael Wohlmayr, Franz Pernkopf:
Gain-robust multi-pitch tracking using sparse nonnegative matrix factorization. ICASSP 2011: 5416-5419 - [c30]Christina Leitner, Franz Pernkopf, Gernot Kubin:
Kernel PCA for Speech Enhancement. INTERSPEECH 2011: 1221-1224 - [c29]Gregor Pirker, Michael Wohlmayr, Stefan Petrik, Franz Pernkopf:
A Pitch Tracking Corpus with Evaluation on Multipitch Tracking Scenario. INTERSPEECH 2011: 1509-1512 - [c28]Michael Wohlmayr, Franz Pernkopf:
EM-Based Gain Adaptation for Probabilistic Multipitch Tracking. INTERSPEECH 2011: 1969-1972 - [c27]Christina Leitner, Franz Pernkopf:
The Pre-image Problem and Kernel PCA for Speech Enhancement. NOLISP 2011: 199-206 - 2010
- [j11]Franz Pernkopf, Jeff A. Bilmes:
Efficient Heuristics for Discriminative Structure Learning of Bayesian Network Classifiers. J. Mach. Learn. Res. 11: 2323-2360 (2010) - [j10]Charturong Tantibundhit, Franz Pernkopf, Gernot Kubin:
Joint Time-Frequency Segmentation Algorithm for Transient Speech Decomposition and Speech Enhancement. IEEE Trans. Speech Audio Process. 18(6): 1417-1428 (2010) - [c26]Michael Stark, Franz Pernkopf:
On optimizing the computational complexity for VQ-based single channel source separation. ICASSP 2010: 237-240 - [c25]Michael Wohlmayr, Michael Stark, Franz Pernkopf:
A mixture maximization approach to multipitch tracking with factorial hidden Markov models. ICASSP 2010: 5070-5073 - [c24]Michael Stark, Michael Wohlmayr, Franz Pernkopf:
Single Channel Speech Separation Using Source-Filter Representation. ICPR 2010: 826-829 - [c23]Robert Peharz, Michael Stark, Franz Pernkopf, Yannis Stylianou:
A factorial sparse coder model for single channel source separation. INTERSPEECH 2010: 386-389 - [c22]Franz Pernkopf, Michael Wohlmayr:
Large Margin Learning of Bayesian Classifiers Based on Gaussian Mixture Models. ECML/PKDD (3) 2010: 50-66
2000 – 2009
- 2009
- [j9]Franz Pernkopf, Tuan Van Pham, Jeff A. Bilmes:
Broad phonetic classification using discriminative Bayesian networks. Speech Commun. 51(2): 151-166 (2009) - [c21]Michael Stark, Franz Pernkopf:
Towards source-filter based single sensor speech separation. ICASSP 2009: 97-100 - [c20]Christoph Böhm, Franz Pernkopf:
Effective metric-based speaker segmentation in the frequency domain. ICASSP 2009: 4081-4084 - [c19]Charturong Tantibundhit, Franz Pernkopf, Gernot Kubin:
Speech enhancement based on joint time-frequency segmentation. ICASSP 2009: 4673-4676 - [c18]Michael Wiesenegger, Franz Pernkopf:
Wavelet-based speaker change detection in single channel speech data. INTERSPEECH 2009: 836-839 - [c17]Michael Wohlmayr, Franz Pernkopf:
Finite mixture spectrogram modeling for multipitch tracking using a factorial hidden Markov model. INTERSPEECH 2009: 1079-1082 - [c16]Franz Pernkopf, Michael Wohlmayr:
On Discriminative Parameter Learning of Bayesian Network Classifiers. ECML/PKDD (2) 2009: 221-237 - 2008
- [j8]